Object Tracking is becoming very popular these days in the computer vision field. It is the
process of tracking an object across a sequence of frames. Deep Sort is a very fast and …

Recent advancements in deep learning and computer vision have benefitted security
systems. Recent object tracking algorithms, in example, have incorporated deep learning in …

This paper proposes an enhanced object tracking architecture based on YOLOv3 and
DeepSORT. YOLOv3 is used for object detection, but in this case, we have only selected the …

Pedestrian tracking is an essential issue in the field of computer vision. Pedestrian tracking
can be applied to safety monitoring in public places, such as airports, stations, shopping …

With the development and integration of big data and artificial intelligence, intelligent
transportation, video surveillance, and other fields are receiving increasing attention. In the …

The rapid development of algorithms for image detection has resulted in broad safety
applications, for example, face recognition and monitoring. However, monitoring in real-time …

The rapid development of image detection algorithm has led to its widespread application in
security, such as facial recognition and crowd surveillance. However, real-time tracking is …

Target detection and tracking are crucial in autonomous driving and intelligent
transportation, especially in pedestrians and traffic safety. The dynamic pedestrian tracking …

Multi-object tracking is a crucial aspect of perception in the area of computer vision, widely
used in autonomous driving, behavior recognition, and other areas. The complex and …

Over the past two decades, computer vision has received a great deal of coverage. Visual
object tracking is one of the most important areas of computer vision. Tracking objects is the …